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Technical Program
Paper Detail
| Paper: | WA-P2.4 |
| Session: | Video Coding - I |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
A CONVEX OPTIMIZATION-BASED FRAME-LEVEL RATE CONTROL ALGORITHM FOR MOTION COMPENSATED HYBRID DCT/DPCM VIDEO CODING |
| Authors: |
Qing Wu; University of Hong Kong | | | | | Shing-Chow Chan; University of Hong Kong | | | | | Heung-Yeung Shum; Microsoft Research, China | | |
| Abstract: |
This paper presents a convex optimization-based frame-level rate control algorithm for motion compensated hybrid DCT/DPCM video coding. By modifying the existing rate-distortion models, an improved empirical rate-distortion model with more flexibility is proposed to explain the experimental observations. The convexity and monotonicity of the proposed model are exploited to formulate the frame-level bit allocation problem as a convex programming problem. Thus the bit allocation among the frames with different picture types can be solved using convex programming methods such as the interior-point methods, if the optimal solution exists. Different importance weights for various picture types (I-, P-, etc) can also be incorporated into the scheme in order to account for the relative importance of different picture types due to their inter-dependency. The relevant model parameters are updated using previously encoded frames by means of linear regression. Simulation results show that the proposed algorithm achieves a considerably better picture quality in terms of PSNR than the conventional approaches for the tested video sequences. Therefore, it is a good alternative to these conventional approaches. |
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